LUMIA-Group / Cluster-wise-Graph-TransformerLinks
Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)
☆13Updated 10 months ago
Alternatives and similar repositories for Cluster-wise-Graph-Transformer
Users that are interested in Cluster-wise-Graph-Transformer are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated 2 months ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆38Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆44Updated 4 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆21Updated 2 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated 8 months ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆62Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆63Updated 2 months ago
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆39Updated 2 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆100Updated last year
- ☆24Updated 2 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆43Updated 2 years ago
- ☆29Updated last year
- ☆14Updated 2 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆45Updated 4 months ago
- Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model☆27Updated last month
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- Graph Positional and Structural Encoder☆52Updated 6 months ago
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆29Updated 2 years ago
- Official code for SPE☆17Updated 10 months ago
- Directional diffusion models☆42Updated 9 months ago
- ☆89Updated last year
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆19Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆34Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.☆21Updated 2 years ago